Conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install autonomous-researchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install autonomous-researchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/autonomous-research/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Autonomous Research can do for your AI workflow
Conduct comprehensive research directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,915+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Autonomous Research
Help me get started with Autonomous Research
Explains what Autonomous Research does, walks through the setup, and runs a quick demo based on your current project
Use Autonomous Research to conduct comprehensive research independently
Invokes Autonomous Research with the right parameters and returns the result directly in the conversation
What can I do with Autonomous Research in my data & analytics workflow?
Lists the top use cases for Autonomous Research, with example commands for each scenario
Guides & tutorials for AI skills
Autonomous Research extends your AI assistant with the ability to conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Autonomous Research as its underlying capability.
Autonomous Research works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Autonomous Research once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Autonomous Research takes about two minutes. Place the skill at `~/.claude/skills/autonomous-research/` (personal, all projects) or `.claude/skills/autonomous-research/` (project-specific), then restart your AI client. From that point, typing `/autonomous-research` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Autonomous Research has been installed 1,915 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/autonomous-research/ for personal use (all projects), or .claude/skills/autonomous-research/ for project-specific use. Restart your AI client, then invoke with /autonomous-research or let the AI discover it automatically.
Autonomous Research supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Autonomous Research is free to install. Check the repository for licensing information.
Conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance.
Automate my data & analytics tasks using Autonomous Research
Identifies repetitive steps in your workflow and sets up Autonomous Research to handle them automatically
MCP vs traditional plugins: what's the difference?
Autonomous Research is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.